[Podcast] The Recipe for Smarter AI
Автор: Vinh Nguyen
Загружено: 2025-12-10
Просмотров: 5
Disclaimer: This video is generated with Google's NotebookLM.
https://papers-pdfs.assets.alphaxiv.o...
The text presents a research paper that investigates the causal contributions of pre-training, mid-training, and reinforcement learning (RL) on the reasoning capabilities of language models. Using a fully controlled experimental framework with synthetic reasoning tasks, the authors analyze extrapolative (depth) generalization and contextual (breadth) generalization. The findings indicate that RL produces true capability gains only when pre-training provides sufficient foundational knowledge and when RL targets the model's "edge of competence." Furthermore, the study highlights that mid-training significantly enhances performance and that process-aware rewards effectively mitigate reward hacking.
#ai #research #pretraining #llm #largelanguagemodels #rl #reinforcementlearning
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